Choose your favorite among the predefined themes.
Hint: All start with theme_...()
, but watch out for theme_set()
.
► Solution:
For presentations, theme_bw()
or theme_minimal()
look useful:
ggplot(data = mpg) +
theme_bw() +
geom_jitter(mapping = aes(x = displ, y = hwy, color = class)) +
scale_x_continuous(name = "Displacement") +
scale_y_continuous(name = "Fuel economy [miles per gallon]") +
scale_color_brewer(name = "Car class", palette = "Set2")
ggplot(data = mpg) +
theme_minimal() +
geom_jitter(mapping = aes(x = displ, y = hwy, color = class)) +
scale_x_continuous(name = "Displacement") +
scale_y_continuous(name = "Fuel economy [miles per gallon]") +
scale_color_brewer(name = "Car class", palette = "Set2")
Apply theme(legend.position = "bottom")
to a plot with a color or fill legend. What happens if you then apply theme_bw()
? Why?
► Solution:
ggplot(data = mpg) +
theme_bw() +
geom_jitter(mapping = aes(x = displ, y = hwy, color = class)) +
scale_x_continuous(name = "Displacement") +
scale_y_continuous(name = "Fuel economy [miles per gallon]") +
scale_color_brewer(name = "Car class", palette = "Set2") +
theme(legend.position = "bottom")
theme_bw()
overwrites everything, including the legend position:
ggplot(data = mpg) +
geom_jitter(mapping = aes(x = displ, y = hwy, color = class)) +
scale_x_continuous(name = "Displacement") +
scale_y_continuous(name = "Fuel economy [miles per gallon]") +
scale_color_brewer(name = "Car class", palette = "Set2") +
theme(legend.position = "bottom") +
theme_bw()
Copyright © 2018 Kirill Müller. Licensed under CC BY-NC 4.0.